To be of high quality, we impose additional constraints over the transferred data.
Similar to the content preservation proposed in[1]},
we require the content well-preserved in the transferred data.
To meet this end, we obtain the representative features from raw audio using an AutoEncoder.
With these features, we can calculate the similarity between the generated data and source audios.
The more similar, the more preserved and the better.
